Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain comprehensive ML pipelines utilizing XGBoost, LightGBM, PyTorch, and TensorFlow.

• Design scalable training and inference frameworks for real-time predictions.

• Oversee cross-functional ML projects and provide mentorship to engineering teams.

• Enhance models for applications in demand forecasting, fraud detection, and personalization.

• Implement MLOps best practices and work alongside DevOps for deployment tasks.

• Process and analyze datasets exceeding 10TB using distributed computing frameworks.

⛳️ Requirements

• Minimum of 4 years of experience in developing production ML systems at scale (100K+ users).

• Proficient in XGBoost, LightGBM, and gradient boosting techniques.

• Strong expertise in Python and the ML stack, including PyTorch, TensorFlow, NumPy, and Scikit-learn.

• Practical experience with agentic AI systems and MCP frameworks.

• Established history in ML deployment and MLOps practices.

• Experience in technical leadership and mentorship roles.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible work arrangements.

• Opportunities for professional development and continuous learning.

• Collaborative and inclusive work environment.